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The economics nobody modeled

Cost and latency are product constraints

Checkpoint: managing unit economics

Launch, and what comes after

Rolling out without a public failure

Governance, risk, and the questions you will be asked

Checkpoint: owning the failure

What happens after launch: unit economics, latency, staged rollout, drift monitoring, incident response, and the governance questions a PM owns. Closes with the operating rhythm of a mature AI product team.

Traditional software gets cheaper per user as you scale. AI software does not: every request
costs real money and real time, the model quietly drifts, and someone eventually has to
answer for a bad output.

Shipping, Economics and Governance

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